50,000+
Products reasoned over simultaneously across multiple locations
[01]We research far from
We research far from
the AI groupthink.
Kiraa partners on research beyond first generation LLMs and into enterprise-grade AI
“Decades in corporate taught me the value of researching beyond accepted commercial assumptions.”
[02]
Our collaborative research agreement with Charles Sturt University focuses on advancing the frontiers of enterprise AI and machine learning applications.
Working with leading academics in business and artificial intelligence, we're developing productivity solutions for mid-market enterprises to enable them a competitive advantage.
Charles Sturt University
Pilot program research
with Oji Fibre Solutions
Kiraa partnered with this leading Australian provider of packaging solutions manufacturing firm. Oji's complex, multi-site operations provided the ideal environment to validate and refine Kiraa's sales analytics at scale.
The work centred on margin visibility, deal dynamics, and sales execution—questions that traditionally rely on delayed reports and specialist interpretation.
3,000+
Active customers analysed in parallel using sales, pricing, and margin
Zero Day Close
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
Unified Analytics
Over 138 calculations performed at 61x the speed of ChatGPT
[04]
“I never expected we'd have such rich insights available immediately after month-end.”
Kiraa’s knowledge engine
evolves enterprise insight
Data and Dashboards
For decades, business intelligence meant aggregating data into reports and dashboards. Insight lived in charts, lagged reality, and depended on specialists to interpret and explain the meaning of numbers after the fact.
First-Gen Consumer AI
Consumer AI models designed to engage a retail market, trained on vast quantity over quality. Powerful at summarisation and language, but prone to hallucinations, disconnected from business context, and unfit for reliable enterprise decision-making.
Kiraa Knowledge Engine
Decision-grade, context-aware AI that combines sovereign, comprehensive data from all sources into a single layer, overlaying an original LLM for a new CAG retrieval model — running outrageously fast and on-premises, architected for Apple Silicon.
Frequently Asked
Questions.
Kiraa uses an Analytical DataFrame and original LLM to train on your data, run on-premises, and speak your business language.
Traditional BI surfaces what happened. Kiraa surfaces what to do — context-aware recommendations grounded in your operational data, without dashboards.
Every answer is grounded in your own data via the Analytical DataFrame; the LLM never invents facts because it can only reason over what the dataframe surfaces.
No — Kiraa speaks business language. The Analytical DataFrame translates queries into the underlying retrieval; you never need to write a join.
On-premises, inside your network, on Apple Silicon hardware. Your data and prompts never leave the building.
Sovereign data + sovereign compute. Nothing crosses the cloud, so there's no attack surface, no leak risk, and no third-party vendor in the trust path.
Up to 80× faster on equivalent questions, because Kiraa is architected for Apple Silicon NPUs and skips the cloud round-trip.
Opportunities, risks and bottlenecks across your business — with the underlying numbers, sources, and recommendations traceable end-to-end.
Add seats, add datasets, add KPIs. Kiraa scales horizontally within the on-premises deployment without external dependencies.
Data never leaves your network. Every answer is auditable. Every prompt is logged locally. There's no third-party in the data path at any layer.
[07]
Ready tomeet Kiraa?
Kiraa is selectively deployed within real operational environments. Start a conversation to explore on-premises, decision-grade AI for your business.